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databricks CERTIFIED_DATA_ENGINEER_ASSOCIATE

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Exam contains 173 questions

Page 23 of 29
Question 133 🔥

A dataset has been defined using Delta Live Tables and includes an expectations clause:CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION DROP ROWWhat is the expected behavior when a batch of data containing data that violates these constraints is processed?

Which database solution meets these requirements?
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Question 134 🔥

A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.Which action can the data engineer perform to improve the start up time for the clusters used for the Job?

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Question 135 🔥

A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.Which approach can the data engineer use to set up the new task?

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Question 136 🔥

A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job’s current run. The data engineer asks a tech lead for help in identifying why this might be the case.Which approach can the tech lead use to identify why the notebook is running slowly as part of the Job?

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Question 137 🔥

A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team’s queries uses the same SQL endpoint.Which approach can the data engineering team use to improve the latency of the team’s queries?

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Question 138 🔥

A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.Which of the following describes how a data lakehouse could alleviate this issue?

Which database solution meets these requirements?
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